Pandas Profiling Report

Dataset statistics

Number of variables	35
Number of observations	1029
Missing cells	268
Missing cells (%)	0.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	808.4 KiB
Average record size in memory	804.5 B

Variable types

NUM	17
CAT	15
BOOL	3

Warnings

`EmployeeCount` has constant value "1029"	Constant
`Over18` has constant value "1029"	Constant
`StandardHours` has constant value "1029"	Constant
`MonthlyIncome` is highly correlated with `JobLevel`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome`	High correlation
`JobRole` is highly correlated with `Department`	High correlation
`Department` is highly correlated with `JobRole`	High correlation
`Age` has 136 (13.2%) missing values	Missing
`DailyRate` has 27 (2.6%) missing values	Missing
`DistanceFromHome` has 95 (9.2%) missing values	Missing
`EmployeeNumber` has unique values	Unique
`NumCompaniesWorked` has 138 (13.4%) zeros	Zeros
`TrainingTimesLastYear` has 39 (3.8%) zeros	Zeros
`YearsAtCompany` has 31 (3.0%) zeros	Zeros
`YearsInCurrentRole` has 169 (16.4%) zeros	Zeros
`YearsSinceLastPromotion` has 415 (40.3%) zeros	Zeros
`YearsWithCurrManager` has 188 (18.3%) zeros	Zeros

Reproduction

Analysis started	2020-12-16 23:59:32.803695
Analysis finished	2020-12-17 00:00:27.470820
Duration	54.67 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Age
Real number (ℝ_≥0)

MISSING

Distinct	39
Distinct (%)	4.4%
Missing	136
Missing (%)	13.2%
Infinite	0
Infinite (%)	0.0%

Mean	37.93057111
Minimum	18
Maximum	60
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	18
5-th percentile	23
Q1	31
median	37
Q3	44
95-th percentile	55
Maximum	60
Range	42
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.395978496
Coefficient of variation (CV)	0.2477151865
Kurtosis	-0.555578353
Mean	37.93057111
Median Absolute Deviation (MAD)	6
Skewness	0.2372086586
Sum	33872
Variance	88.28441189
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
29	49	4.8%
36	48	4.7%
34	48	4.7%
31	47	4.6%
30	42	4.1%
33	42	4.1%
32	42	4.1%
40	39	3.8%
38	38	3.7%
27	37	3.6%
42	35	3.4%
41	32	3.1%
37	30	2.9%
45	29	2.8%
39	27	2.6%
43	26	2.5%
46	22	2.1%
50	21	2.0%
55	19	1.8%
51	17	1.7%
24	17	1.7%
44	16	1.6%
53	15	1.5%
52	15	1.5%
48	14	1.4%
Other values (14)	126	12.2%
(Missing)	136	13.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	5	0.5%
19	7	0.7%
20	10	1.0%
21	8	0.8%
22	13	1.3%
23	12	1.2%
24	17	1.7%
27	37	3.6%
29	49	4.8%
30	42	4.1%

Value	Count	Frequency (%)
60	3	0.3%
59	7	0.7%
58	8	0.8%
57	3	0.3%
56	10	1.0%
55	19	1.8%
54	13	1.3%
53	15	1.5%
52	15	1.5%
51	17	1.7%

Attrition
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

No	853
Yes	176

Common Values
Chart

Value	Count	Frequency (%)
No	853	82.9%
Yes	176	17.1%

BusinessTravel
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	5
Missing (%)	0.5%
Memory size	8.2 KiB

Travel_Rarely	723
Travel_Frequently	199
Non-Travel	102

Value	Count	Frequency (%)
Travel_Rarely	723	70.3%
Travel_Frequently	199	19.3%
Non-Travel	102	9.9%
(Missing)	5	0.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	17
Median length	13
Mean length	13.42759961
Min length	3

Overview of Unicode Properties

Unique unicode characters	17
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	2145	15.5%
r	1946	14.1%
l	1946	14.1%
a	1752	12.7%
T	1024	7.4%
v	1024	7.4%
_	922	6.7%
y	922	6.7%
R	723	5.2%
n	311	2.3%
F	199	1.4%
q	199	1.4%
u	199	1.4%
t	199	1.4%
N	102	0.7%
o	102	0.7%
-	102	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10745	77.8%
Uppercase Letter	2048	14.8%
Connector Punctuation	922	6.7%
Dash Punctuation	102	0.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
T	1024	50.0%
R	723	35.3%
F	199	9.7%
N	102	5.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	2145	20.0%
r	1946	18.1%
l	1946	18.1%
a	1752	16.3%
v	1024	9.5%
y	922	8.6%
n	311	2.9%
q	199	1.9%
u	199	1.9%
t	199	1.9%
o	102	0.9%

Most frequent Connector Punctuation characters

Value	Count	Frequency (%)
_	922	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	102	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12793	92.6%
Common	1024	7.4%

Most frequent Latin characters

Value	Count	Frequency (%)
e	2145	16.8%
r	1946	15.2%
l	1946	15.2%
a	1752	13.7%
T	1024	8.0%
v	1024	8.0%
y	922	7.2%
R	723	5.7%
n	311	2.4%
F	199	1.6%
q	199	1.6%
u	199	1.6%
t	199	1.6%
N	102	0.8%
o	102	0.8%

Most frequent Common characters

Value	Count	Frequency (%)
_	922	90.0%
-	102	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13817	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	2145	15.5%
r	1946	14.1%
l	1946	14.1%
a	1752	12.7%
T	1024	7.4%
v	1024	7.4%
_	922	6.7%
y	922	6.7%
R	723	5.2%
n	311	2.3%
F	199	1.4%
q	199	1.4%
u	199	1.4%
t	199	1.4%
N	102	0.7%
o	102	0.7%
-	102	0.7%

DailyRate
Real number (ℝ_≥0)

MISSING

Distinct	692
Distinct (%)	69.1%
Missing	27
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%

Mean	800.5289421
Minimum	102
Maximum	1496
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	102
5-th percentile	157.15
Q1	458.25
median	801.5
Q3	1162
95-th percentile	1421.95
Maximum	1496
Range	1394
Interquartile range (IQR)	703.75

Descriptive statistics

Standard deviation	408.1098284
Coefficient of variation (CV)	0.509800217
Kurtosis	-1.221174387
Mean	800.5289421
Median Absolute Deviation (MAD)	354.5
Skewness	-0.003923162652
Sum	802130
Variance	166553.632
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1329	4	0.4%
267	4	0.4%
1082	4	0.4%
329	4	0.4%
691	4	0.4%
117	4	0.4%
530	4	0.4%
890	3	0.3%
930	3	0.3%
959	3	0.3%
813	3	0.3%
1017	3	0.3%
1097	3	0.3%
977	3	0.3%
950	3	0.3%
1404	3	0.3%
303	3	0.3%
337	3	0.3%
1146	3	0.3%
1277	3	0.3%
1276	3	0.3%
1448	3	0.3%
1400	3	0.3%
135	3	0.3%
945	3	0.3%
Other values (667)	920	89.4%
(Missing)	27	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
102	1	0.1%
103	1	0.1%
105	1	0.1%
107	1	0.1%
109	1	0.1%
111	2	0.2%
116	2	0.2%
117	4	0.4%
118	1	0.1%
119	1	0.1%

Value	Count	Frequency (%)
1496	1	0.1%
1495	2	0.2%
1492	1	0.1%
1490	1	0.1%
1488	1	0.1%
1485	3	0.3%
1482	1	0.1%
1480	2	0.2%
1479	1	0.1%
1476	3	0.3%

Department
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

Research & Development	676
Sales	311
Human Resources	42

Value	Count	Frequency (%)
Research & Development	676	65.7%
Sales	311	30.2%
Human Resources	42	4.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	22
Median length	22
Mean length	16.57628766
Min length	5

Overview of Unicode Properties

Unique unicode characters	20
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	3775	22.1%
	1394	8.2%
s	1071	6.3%
a	1029	6.0%
l	987	5.8%
R	718	4.2%
r	718	4.2%
c	718	4.2%
o	718	4.2%
m	718	4.2%
n	718	4.2%
h	676	4.0%
&	676	4.0%
D	676	4.0%
v	676	4.0%
p	676	4.0%
t	676	4.0%
S	311	1.8%
u	84	0.5%
H	42	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13240	77.6%
Uppercase Letter	1747	10.2%
Space Separator	1394	8.2%
Other Punctuation	676	4.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	718	41.1%
D	676	38.7%
S	311	17.8%
H	42	2.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	3775	28.5%
s	1071	8.1%
a	1029	7.8%
l	987	7.5%
r	718	5.4%
c	718	5.4%
o	718	5.4%
m	718	5.4%
n	718	5.4%
h	676	5.1%
v	676	5.1%
p	676	5.1%
t	676	5.1%
u	84	0.6%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	1394	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
&	676	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14987	87.9%
Common	2070	12.1%

Most frequent Latin characters

Value	Count	Frequency (%)
e	3775	25.2%
s	1071	7.1%
a	1029	6.9%
l	987	6.6%
R	718	4.8%
r	718	4.8%
c	718	4.8%
o	718	4.8%
m	718	4.8%
n	718	4.8%
h	676	4.5%
D	676	4.5%
v	676	4.5%
p	676	4.5%
t	676	4.5%
S	311	2.1%
u	84	0.6%
H	42	0.3%

Most frequent Common characters

Value	Count	Frequency (%)
	1394	67.3%
&	676	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17057	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	3775	22.1%
	1394	8.2%
s	1071	6.3%
a	1029	6.0%
l	987	5.8%
R	718	4.2%
r	718	4.2%
c	718	4.2%
o	718	4.2%
m	718	4.2%
n	718	4.2%
h	676	4.0%
&	676	4.0%
D	676	4.0%
v	676	4.0%
p	676	4.0%
t	676	4.0%
S	311	1.8%
u	84	0.5%
H	42	0.2%

DistanceFromHome
Real number (ℝ_≥0)

MISSING

Distinct	27
Distinct (%)	2.9%
Missing	95
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%

Mean	9.930406852
Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	8
Q3	16
95-th percentile	26
Maximum	29
Range	28
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.421790527
Coefficient of variation (CV)	0.8480811161
Kurtosis	-0.565511992
Mean	9.930406852
Median Absolute Deviation (MAD)	6
Skewness	0.7847258433
Sum	9275
Variance	70.92655568
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
1	147	14.3%
2	141	13.7%
9	68	6.6%
8	57	5.5%
10	57	5.5%
7	53	5.2%
4	50	4.9%
6	43	4.2%
26	24	2.3%
18	22	2.1%
16	22	2.1%
11	21	2.0%
25	20	1.9%
24	19	1.8%
29	18	1.7%
12	17	1.7%
23	17	1.7%
28	17	1.7%
19	16	1.6%
22	16	1.6%
14	15	1.5%
15	15	1.5%
17	14	1.4%
13	12	1.2%
21	12	1.2%
Other values (2)	21	2.0%
(Missing)	95	9.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	147	14.3%
2	141	13.7%
4	50	4.9%
6	43	4.2%
7	53	5.2%
8	57	5.5%
9	68	6.6%
10	57	5.5%
11	21	2.0%
12	17	1.7%

Value	Count	Frequency (%)
29	18	1.7%
28	17	1.7%
27	10	1.0%
26	24	2.3%
25	20	1.9%
24	19	1.8%
23	17	1.7%
22	16	1.6%
21	12	1.2%
20	11	1.1%

Education
Real number (ℝ_≥0)

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.89212828
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	5
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.053540556
Coefficient of variation (CV)	0.3642786399
Kurtosis	-0.6487944368
Mean	2.89212828
Median Absolute Deviation (MAD)	1
Skewness	-0.2737624588
Sum	2976
Variance	1.109947703
Monotocity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
3	386	37.5%
4	279	27.1%
2	194	18.9%
1	134	13.0%
5	36	3.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	134	13.0%
2	194	18.9%
3	386	37.5%
4	279	27.1%
5	36	3.5%

Value	Count	Frequency (%)
5	36	3.5%
4	279	27.1%
3	386	37.5%
2	194	18.9%
1	134	13.0%

EducationField
Categorical

Distinct	6
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

Life Sciences	426
Medical	328
Marketing	110
Technical Degree	82
Other	66

Value	Count	Frequency (%)
Life Sciences	426	41.4%
Medical	328	31.9%
Marketing	110	10.7%
Technical Degree	82	8.0%
Other	66	6.4%
Human Resources	17	1.7%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	16
Median length	13
Mean length	10.41885326
Min length	5

Overview of Unicode Properties

Unique unicode characters	26
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	2144	20.0%
i	1372	12.8%
c	1361	12.7%
n	635	5.9%
a	537	5.0%
	525	4.9%
s	460	4.3%
M	438	4.1%
L	426	4.0%
f	426	4.0%
S	426	4.0%
l	410	3.8%
d	328	3.1%
r	275	2.6%
g	192	1.8%
t	176	1.6%
h	148	1.4%
k	110	1.0%
T	82	0.8%
D	82	0.8%
O	66	0.6%
u	34	0.3%
H	17	0.2%
m	17	0.2%
R	17	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8642	80.6%
Uppercase Letter	1554	14.5%
Space Separator	525	4.9%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	438	28.2%
L	426	27.4%
S	426	27.4%
T	82	5.3%
D	82	5.3%
O	66	4.2%
H	17	1.1%
R	17	1.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	2144	24.8%
i	1372	15.9%
c	1361	15.7%
n	635	7.3%
a	537	6.2%
s	460	5.3%
f	426	4.9%
l	410	4.7%
d	328	3.8%
r	275	3.2%
g	192	2.2%
t	176	2.0%
h	148	1.7%
k	110	1.3%
u	34	0.4%
m	17	0.2%
o	17	0.2%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	525	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10196	95.1%
Common	525	4.9%

Most frequent Latin characters

Value	Count	Frequency (%)
e	2144	21.0%
i	1372	13.5%
c	1361	13.3%
n	635	6.2%
a	537	5.3%
s	460	4.5%
M	438	4.3%
L	426	4.2%
f	426	4.2%
S	426	4.2%
l	410	4.0%
d	328	3.2%
r	275	2.7%
g	192	1.9%
t	176	1.7%
h	148	1.5%
k	110	1.1%
T	82	0.8%
D	82	0.8%
O	66	0.6%
u	34	0.3%
H	17	0.2%
m	17	0.2%
R	17	0.2%
o	17	0.2%

Most frequent Common characters

Value	Count	Frequency (%)
	525	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10721	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	2144	20.0%
i	1372	12.8%
c	1361	12.7%
n	635	5.9%
a	537	5.0%
	525	4.9%
s	460	4.3%
M	438	4.1%
L	426	4.0%
f	426	4.0%
S	426	4.0%
l	410	3.8%
d	328	3.1%
r	275	2.6%
g	192	1.8%
t	176	1.6%
h	148	1.4%
k	110	1.0%
T	82	0.8%
D	82	0.8%
O	66	0.6%
u	34	0.3%
H	17	0.2%
m	17	0.2%
R	17	0.2%

EmployeeCount
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

1	1029

Common Values
Chart

Value	Count	Frequency (%)
1	1029	100.0%

EmployeeNumber
Real number (ℝ_≥0)

UNIQUE

Distinct	1029
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1024.367347
Minimum	1
Maximum	2068
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	1
5-th percentile	94.4
Q1	496
median	1019
Q3	1553
95-th percentile	1971.6
Maximum	2068
Range	2067
Interquartile range (IQR)	1057

Descriptive statistics

Standard deviation	606.3016348
Coefficient of variation (CV)	0.5918791111
Kurtosis	-1.206539811
Mean	1024.367347
Median Absolute Deviation (MAD)	530
Skewness	0.02147841012
Sum	1054074
Variance	367601.6723
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2045	1	0.1%
741	1	0.1%
664	1	0.1%
663	1	0.1%
662	1	0.1%
661	1	0.1%
659	1	0.1%
657	1	0.1%
653	1	0.1%
652	1	0.1%
648	1	0.1%
644	1	0.1%
643	1	0.1%
641	1	0.1%
639	1	0.1%
638	1	0.1%
635	1	0.1%
632	1	0.1%
631	1	0.1%
630	1	0.1%
626	1	0.1%
625	1	0.1%
624	1	0.1%
622	1	0.1%
620	1	0.1%
Other values (1004)	1004	97.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
4	1	0.1%
5	1	0.1%
7	1	0.1%
8	1	0.1%
10	1	0.1%
11	1	0.1%
12	1	0.1%
13	1	0.1%

Value	Count	Frequency (%)
2068	1	0.1%
2064	1	0.1%
2062	1	0.1%
2061	1	0.1%
2060	1	0.1%
2056	1	0.1%
2054	1	0.1%
2053	1	0.1%
2051	1	0.1%
2049	1	0.1%

EnvironmentSatisfaction
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

3	310
4	300
2	212
1	207

Value	Count	Frequency (%)
3	310	30.1%
4	300	29.2%
2	212	20.6%
1	207	20.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	310	30.1%
4	300	29.2%
2	212	20.6%
1	207	20.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	310	30.1%
4	300	29.2%
2	212	20.6%
1	207	20.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	310	30.1%
4	300	29.2%
2	212	20.6%
1	207	20.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	310	30.1%
4	300	29.2%
2	212	20.6%
1	207	20.1%

Gender
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

Male	617
Female	412

Value	Count	Frequency (%)
Male	617	60.0%
Female	412	40.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	6
Median length	4
Mean length	4.800777454
Min length	4

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	1441	29.2%
a	1029	20.8%
l	1029	20.8%
M	617	12.5%
F	412	8.3%
m	412	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3911	79.2%
Uppercase Letter	1029	20.8%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	617	60.0%
F	412	40.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	1441	36.8%
a	1029	26.3%
l	1029	26.3%
m	412	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4940	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
e	1441	29.2%
a	1029	20.8%
l	1029	20.8%
M	617	12.5%
F	412	8.3%
m	412	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4940	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	1441	29.2%
a	1029	20.8%
l	1029	20.8%
M	617	12.5%
F	412	8.3%
m	412	8.3%

HourlyRate
Real number (ℝ_≥0)

Distinct	71
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	66.68027211
Minimum	30
Maximum	100
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	30
5-th percentile	34
Q1	48
median	67
Q3	84
95-th percentile	97.6
Maximum	100
Range	70
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.47409414
Coefficient of variation (CV)	0.307048749
Kurtosis	-1.212043515
Mean	66.68027211
Median Absolute Deviation (MAD)	18
Skewness	-0.08874675179
Sum	68614
Variance	419.1885307
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48	25	2.4%
79	24	2.3%
98	23	2.2%
87	23	2.2%
72	20	1.9%
66	20	1.9%
84	20	1.9%
52	19	1.8%
54	19	1.8%
92	19	1.8%
97	19	1.8%
82	18	1.7%
61	18	1.7%
60	18	1.7%
46	18	1.7%
43	18	1.7%
42	17	1.7%
99	17	1.7%
56	17	1.7%
73	16	1.6%
45	16	1.6%
57	16	1.6%
75	16	1.6%
86	16	1.6%
95	16	1.6%
Other values (46)	561	54.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
30	14	1.4%
31	9	0.9%
32	14	1.4%
33	13	1.3%
34	11	1.1%
35	12	1.2%
36	12	1.2%
37	14	1.4%
38	9	0.9%
39	12	1.2%

Value	Count	Frequency (%)
100	12	1.2%
99	17	1.7%
98	23	2.2%
97	19	1.8%
96	15	1.5%
95	16	1.6%
94	15	1.5%
93	13	1.3%
92	19	1.8%
91	14	1.4%

JobInvolvement
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

3	606
2	269
4	94
1	60

Value	Count	Frequency (%)
3	606	58.9%
2	269	26.1%
4	94	9.1%
1	60	5.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	606	58.9%
2	269	26.1%
4	94	9.1%
1	60	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	606	58.9%
2	269	26.1%
4	94	9.1%
1	60	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	606	58.9%
2	269	26.1%
4	94	9.1%
1	60	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	606	58.9%
2	269	26.1%
4	94	9.1%
1	60	5.8%

JobLevel
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.043731778
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.118917656
Coefficient of variation (CV)	0.5474875266
Kurtosis	0.3226034541
Mean	2.043731778
Median Absolute Deviation (MAD)	1
Skewness	1.024196627
Sum	2103
Variance	1.251976722
Monotocity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
1	403	39.2%
2	350	34.0%
3	151	14.7%
4	78	7.6%
5	47	4.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	403	39.2%
2	350	34.0%
3	151	14.7%
4	78	7.6%
5	47	4.6%

Value	Count	Frequency (%)
5	47	4.6%
4	78	7.6%
3	151	14.7%
2	350	34.0%
1	403	39.2%

JobRole
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

Sales Executive	217
Research Scientist	214
Laboratory Technician	179
Manufacturing Director	95
Healthcare Representative	89
Other values (4)	235

Value	Count	Frequency (%)
Sales Executive	217	21.1%
Research Scientist	214	20.8%
Laboratory Technician	179	17.4%
Manufacturing Director	95	9.2%
Healthcare Representative	89	8.6%
Manager	73	7.1%
Sales Representative	66	6.4%
Research Director	62	6.0%
Human Resources	34	3.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	25
Median length	18
Mean length	18.05247813
Min length	7

Overview of Unicode Properties

Unique unicode characters	29
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	2758	14.8%
a	1799	9.7%
t	1475	7.9%
c	1440	7.8%
i	1410	7.6%
r	1394	7.5%
n	1024	5.5%
s	996	5.4%
	956	5.1%
o	549	3.0%
h	544	2.9%
S	497	2.7%
u	475	2.6%
R	465	2.5%
l	372	2.0%
v	372	2.0%
E	217	1.2%
x	217	1.2%
L	179	1.0%
b	179	1.0%
y	179	1.0%
T	179	1.0%
M	168	0.9%
g	168	0.9%
D	157	0.8%
Other values (4)	407	2.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15635	84.2%
Uppercase Letter	1985	10.7%
Space Separator	956	5.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	497	25.0%
R	465	23.4%
E	217	10.9%
L	179	9.0%
T	179	9.0%
M	168	8.5%
D	157	7.9%
H	123	6.2%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	2758	17.6%
a	1799	11.5%
t	1475	9.4%
c	1440	9.2%
i	1410	9.0%
r	1394	8.9%
n	1024	6.5%
s	996	6.4%
o	549	3.5%
h	544	3.5%
u	475	3.0%
l	372	2.4%
v	372	2.4%
x	217	1.4%
b	179	1.1%
y	179	1.1%
g	168	1.1%
p	155	1.0%
f	95	0.6%
m	34	0.2%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	956	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17620	94.9%
Common	956	5.1%

Most frequent Latin characters

Value	Count	Frequency (%)
e	2758	15.7%
a	1799	10.2%
t	1475	8.4%
c	1440	8.2%
i	1410	8.0%
r	1394	7.9%
n	1024	5.8%
s	996	5.7%
o	549	3.1%
h	544	3.1%
S	497	2.8%
u	475	2.7%
R	465	2.6%
l	372	2.1%
v	372	2.1%
E	217	1.2%
x	217	1.2%
L	179	1.0%
b	179	1.0%
y	179	1.0%
T	179	1.0%
M	168	1.0%
g	168	1.0%
D	157	0.9%
p	155	0.9%
Other values (3)	252	1.4%

Most frequent Common characters

Value	Count	Frequency (%)
	956	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18576	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	2758	14.8%
a	1799	9.7%
t	1475	7.9%
c	1440	7.8%
i	1410	7.6%
r	1394	7.5%
n	1024	5.5%
s	996	5.4%
	956	5.1%
o	549	3.0%
h	544	2.9%
S	497	2.7%
u	475	2.6%
R	465	2.5%
l	372	2.0%
v	372	2.0%
E	217	1.2%
x	217	1.2%
L	179	1.0%
b	179	1.0%
y	179	1.0%
T	179	1.0%
M	168	0.9%
g	168	0.9%
D	157	0.8%
Other values (4)	407	2.2%

JobSatisfaction
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

4	315
3	301
2	215
1	198

Value	Count	Frequency (%)
4	315	30.6%
3	301	29.3%
2	215	20.9%
1	198	19.2%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
4	315	30.6%
3	301	29.3%
2	215	20.9%
1	198	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
4	315	30.6%
3	301	29.3%
2	215	20.9%
1	198	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
4	315	30.6%
3	301	29.3%
2	215	20.9%
1	198	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
4	315	30.6%
3	301	29.3%
2	215	20.9%
1	198	19.2%

MaritalStatus
Categorical

Distinct	3
Distinct (%)	0.3%
Missing	5
Missing (%)	0.5%
Memory size	8.2 KiB

Married	474
Single	320
Divorced	230

Value	Count	Frequency (%)
Married	474	46.1%
Single	320	31.1%
Divorced	230	22.4%
(Missing)	5	0.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	8
Median length	7
Mean length	6.893100097
Min length	3

Overview of Unicode Properties

Unique unicode characters	14
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
r	1178	16.6%
i	1024	14.4%
e	1024	14.4%
d	704	9.9%
a	479	6.8%
M	474	6.7%
n	330	4.7%
S	320	4.5%
g	320	4.5%
l	320	4.5%
D	230	3.2%
v	230	3.2%
o	230	3.2%
c	230	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6069	85.6%
Uppercase Letter	1024	14.4%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	474	46.3%
S	320	31.2%
D	230	22.5%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
r	1178	19.4%
i	1024	16.9%
e	1024	16.9%
d	704	11.6%
a	479	7.9%
n	330	5.4%
g	320	5.3%
l	320	5.3%
v	230	3.8%
o	230	3.8%
c	230	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7093	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
r	1178	16.6%
i	1024	14.4%
e	1024	14.4%
d	704	9.9%
a	479	6.8%
M	474	6.7%
n	330	4.7%
S	320	4.5%
g	320	4.5%
l	320	4.5%
D	230	3.2%
v	230	3.2%
o	230	3.2%
c	230	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7093	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
r	1178	16.6%
i	1024	14.4%
e	1024	14.4%
d	704	9.9%
a	479	6.8%
M	474	6.7%
n	330	4.7%
S	320	4.5%
g	320	4.5%
l	320	4.5%
D	230	3.2%
v	230	3.2%
o	230	3.2%
c	230	3.2%

MonthlyIncome
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	963
Distinct (%)	93.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6449.79689
Minimum	1009
Maximum	19999
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	1009
5-th percentile	2088.4
Q1	2814
median	4735
Q3	8446
95-th percentile	17623.6
Maximum	19999
Range	18990
Interquartile range (IQR)	5632

Descriptive statistics

Standard deviation	4794.525367
Coefficient of variation (CV)	0.7433606745
Kurtosis	0.8623949801
Mean	6449.79689
Median Absolute Deviation (MAD)	2107
Skewness	1.347579672
Sum	6636841
Variance	22987473.49
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2342	3	0.3%
2451	3	0.3%
2610	3	0.3%
2404	3	0.3%
6347	3	0.3%
6272	2	0.2%
2657	2	0.2%
5562	2	0.2%
5561	2	0.2%
2132	2	0.2%
2127	2	0.2%
2559	2	0.2%
3038	2	0.2%
4907	2	0.2%
2996	2	0.2%
5228	2	0.2%
2109	2	0.2%
2720	2	0.2%
2450	2	0.2%
2436	2	0.2%
2340	2	0.2%
4025	2	0.2%
2693	2	0.2%
2372	2	0.2%
5346	2	0.2%
Other values (938)	974	94.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1009	1	0.1%
1052	1	0.1%
1081	1	0.1%
1091	1	0.1%
1102	1	0.1%
1118	1	0.1%
1129	1	0.1%
1200	1	0.1%
1223	1	0.1%
1261	1	0.1%

Value	Count	Frequency (%)
19999	1	0.1%
19973	1	0.1%
19943	1	0.1%
19926	1	0.1%
19859	1	0.1%
19847	1	0.1%
19845	1	0.1%
19833	1	0.1%
19717	1	0.1%
19701	1	0.1%

MonthlyRate
Real number (ℝ_≥0)

Distinct	1010
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14250.62974
Minimum	2094
Maximum	26999
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	2094
5-th percentile	3423.8
Q1	7950
median	14295
Q3	20392
95-th percentile	25374
Maximum	26999
Range	24905
Interquartile range (IQR)	12442

Descriptive statistics

Standard deviation	7088.757938
Coefficient of variation (CV)	0.4974347147
Kurtosis	-1.209325633
Mean	14250.62974
Median Absolute Deviation (MAD)	6194
Skewness	0.02185778605
Sum	14663898
Variance	50250489.1
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19373	2	0.2%
7744	2	0.2%
4658	2	0.2%
22102	2	0.2%
7324	2	0.2%
11737	2	0.2%
16154	2	0.2%
15318	2	0.2%
24444	2	0.2%
21534	2	0.2%
12858	2	0.2%
5355	2	0.2%
12355	2	0.2%
9129	2	0.2%
20284	2	0.2%
22074	2	0.2%
25326	2	0.2%
4223	2	0.2%
3339	2	0.2%
23213	1	0.1%
25265	1	0.1%
4077	1	0.1%
17759	1	0.1%
10919	1	0.1%
8870	1	0.1%
Other values (985)	985	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2094	1	0.1%
2097	1	0.1%
2112	1	0.1%
2122	1	0.1%
2125	1	0.1%
2137	1	0.1%
2227	1	0.1%
2243	1	0.1%
2253	1	0.1%
2261	1	0.1%

Value	Count	Frequency (%)
26999	1	0.1%
26997	1	0.1%
26968	1	0.1%
26956	1	0.1%
26933	1	0.1%
26914	1	0.1%
26897	1	0.1%
26862	1	0.1%
26841	1	0.1%
26820	1	0.1%

NumCompaniesWorked
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.653061224
Minimum	0
Maximum	9
Zeros	138
Zeros (%)	13.4%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	4
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.508185599
Coefficient of variation (CV)	0.9453930333
Kurtosis	0.08340350463
Mean	2.653061224
Median Absolute Deviation (MAD)	1
Skewness	1.074605689
Sum	2730
Variance	6.290994997
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	377	36.6%
0	138	13.4%
2	109	10.6%
3	105	10.2%
4	85	8.3%
7	51	5.0%
6	49	4.8%
5	43	4.2%
9	38	3.7%
8	34	3.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	138	13.4%
1	377	36.6%
2	109	10.6%
3	105	10.2%
4	85	8.3%
5	43	4.2%
6	49	4.8%
7	51	5.0%
8	34	3.3%
9	38	3.7%

Value	Count	Frequency (%)
9	38	3.7%
8	34	3.3%
7	51	5.0%
6	49	4.8%
5	43	4.2%
4	85	8.3%
3	105	10.2%
2	109	10.6%
1	377	36.6%
0	138	13.4%

Over18
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

Y	1029

Value	Count	Frequency (%)
Y	1029	100.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	1
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
Y	1029	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1029	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
Y	1029	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1029	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
Y	1029	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
Y	1029	100.0%

OverTime
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

No	731
Yes	298

Common Values
Chart

Value	Count	Frequency (%)
No	731	71.0%
Yes	298	29.0%

PercentSalaryHike
Real number (ℝ_≥0)

Distinct	15
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.26044704
Minimum	11
Maximum	25
Zeros	0
Zeros (%)	0.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	11
5-th percentile	11
Q1	12
median	14
Q3	18
95-th percentile	22
Maximum	25
Range	14
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.665779308
Coefficient of variation (CV)	0.2402144117
Kurtosis	-0.3386498092
Mean	15.26044704
Median Absolute Deviation (MAD)	2
Skewness	0.8012882752
Sum	15703
Variance	13.43793793
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
13	146	14.2%
14	141	13.7%
11	141	13.7%
12	139	13.5%
15	72	7.0%
18	59	5.7%
17	59	5.7%
19	56	5.4%
16	52	5.1%
20	48	4.7%
22	37	3.6%
21	30	2.9%
23	23	2.2%
25	14	1.4%
24	12	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	141	13.7%
12	139	13.5%
13	146	14.2%
14	141	13.7%
15	72	7.0%
16	52	5.1%
17	59	5.7%
18	59	5.7%
19	56	5.4%
20	48	4.7%

Value	Count	Frequency (%)
25	14	1.4%
24	12	1.2%
23	23	2.2%
22	37	3.6%
21	30	2.9%
20	48	4.7%
19	56	5.4%
18	59	5.7%
17	59	5.7%
16	52	5.1%

PerformanceRating
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

3	865
4	164

Value	Count	Frequency (%)
3	865	84.1%
4	164	15.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	865	84.1%
4	164	15.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	865	84.1%
4	164	15.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	865	84.1%
4	164	15.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	865	84.1%
4	164	15.9%

RelationshipSatisfaction
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

3	318
4	293
2	224
1	194

Value	Count	Frequency (%)
3	318	30.9%
4	293	28.5%
2	224	21.8%
1	194	18.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	318	30.9%
4	293	28.5%
2	224	21.8%
1	194	18.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	318	30.9%
4	293	28.5%
2	224	21.8%
1	194	18.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	318	30.9%
4	293	28.5%
2	224	21.8%
1	194	18.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	318	30.9%
4	293	28.5%
2	224	21.8%
1	194	18.9%

StandardHours
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

80	1029

Value	Count	Frequency (%)
80	1029	100.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
8	1029	50.0%
0	1029	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2058	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
8	1029	50.0%
0	1029	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2058	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
8	1029	50.0%
0	1029	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2058	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
8	1029	50.0%
0	1029	50.0%

StockOptionLevel
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

0	432
1	417
2	111
3	69

Value	Count	Frequency (%)
0	432	42.0%
1	417	40.5%
2	111	10.8%
3	69	6.7%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	432	42.0%
1	417	40.5%
2	111	10.8%
3	69	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	432	42.0%
1	417	40.5%
2	111	10.8%
3	69	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	432	42.0%
1	417	40.5%
2	111	10.8%
3	69	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	432	42.0%
1	417	40.5%
2	111	10.8%
3	69	6.7%

TotalWorkingYears
Real number (ℝ_≥0)

Distinct	40
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.19630709
Minimum	0
Maximum	40
Zeros	6
Zeros (%)	0.6%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	10
Q3	15
95-th percentile	28
Maximum	40
Range	40
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.85758116
Coefficient of variation (CV)	0.7018011469
Kurtosis	0.7914308701
Mean	11.19630709
Median Absolute Deviation (MAD)	5
Skewness	1.079672117
Sum	11521
Variance	61.74158168
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
10	134	13.0%
6	92	8.9%
8	73	7.1%
5	67	6.5%
1	66	6.4%
9	57	5.5%
4	48	4.7%
7	45	4.4%
15	31	3.0%
3	30	2.9%
12	29	2.8%
11	28	2.7%
21	27	2.6%
13	27	2.6%
16	25	2.4%
2	24	2.3%
20	23	2.2%
17	22	2.1%
18	20	1.9%
14	19	1.8%
19	19	1.8%
23	15	1.5%
24	14	1.4%
22	13	1.3%
26	9	0.9%
Other values (15)	72	7.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.6%
1	66	6.4%
2	24	2.3%
3	30	2.9%
4	48	4.7%
5	67	6.5%
6	92	8.9%
7	45	4.4%
8	73	7.1%
9	57	5.5%

Value	Count	Frequency (%)
40	1	0.1%
38	1	0.1%
37	2	0.2%
36	4	0.4%
35	3	0.3%
34	4	0.4%
33	4	0.4%
32	6	0.6%
31	9	0.9%
30	4	0.4%

TrainingTimesLastYear
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.782312925
Minimum	0
Maximum	6
Zeros	39
Zeros (%)	3.8%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.28340125
Coefficient of variation (CV)	0.4612713541
Kurtosis	0.564671261
Mean	2.782312925
Median Absolute Deviation (MAD)	1
Skewness	0.5580773883
Sum	2863
Variance	1.64711877
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	385	37.4%
3	346	33.6%
4	85	8.3%
5	79	7.7%
1	50	4.9%
6	45	4.4%
0	39	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39	3.8%
1	50	4.9%
2	385	37.4%
3	346	33.6%
4	85	8.3%
5	79	7.7%
6	45	4.4%

Value	Count	Frequency (%)
6	45	4.4%
5	79	7.7%
4	85	8.3%
3	346	33.6%
2	385	37.4%
1	50	4.9%
0	39	3.8%

WorkLifeBalance
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	8.2 KiB

3	626
2	250
4	99
1	54

Value	Count	Frequency (%)
3	626	60.8%
2	250	24.3%
4	99	9.6%
1	54	5.2%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
3	626	60.8%
2	250	24.3%
4	99	9.6%
1	54	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1029	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	626	60.8%
2	250	24.3%
4	99	9.6%
1	54	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1029	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	626	60.8%
2	250	24.3%
4	99	9.6%
1	54	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	626	60.8%
2	250	24.3%
4	99	9.6%
1	54	5.2%

YearsAtCompany
Real number (ℝ_≥0)

ZEROS

Distinct	32
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.942662779
Minimum	0
Maximum	37
Zeros	31
Zeros (%)	3.0%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	10
95-th percentile	20
Maximum	37
Range	37
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.068321865
Coefficient of variation (CV)	0.8740625979
Kurtosis	3.314188601
Mean	6.942662779
Median Absolute Deviation (MAD)	3
Skewness	1.670784773
Sum	7144
Variance	36.82453026
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
5	137	13.3%
1	125	12.1%
3	89	8.6%
2	88	8.6%
10	86	8.4%
4	85	8.3%
7	56	5.4%
6	55	5.3%
9	53	5.2%
8	50	4.9%
0	31	3.0%
11	24	2.3%
20	23	2.2%
13	14	1.4%
15	14	1.4%
14	12	1.2%
22	10	1.0%
18	10	1.0%
21	10	1.0%
12	10	1.0%
16	9	0.9%
19	8	0.8%
17	7	0.7%
33	4	0.4%
24	4	0.4%
Other values (7)	15	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	31	3.0%
1	125	12.1%
2	88	8.6%
3	89	8.6%
4	85	8.3%
5	137	13.3%
6	55	5.3%
7	56	5.4%
8	50	4.9%
9	53	5.2%

Value	Count	Frequency (%)
37	1	0.1%
33	4	0.4%
32	3	0.3%
31	3	0.3%
29	1	0.1%
27	1	0.1%
26	3	0.3%
25	3	0.3%
24	4	0.4%
22	10	1.0%

YearsInCurrentRole
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.21574344
Minimum	0
Maximum	18
Zeros	169
Zeros (%)	16.4%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	11
Maximum	18
Range	18
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.658594827
Coefficient of variation (CV)	0.8678409582
Kurtosis	0.526143659
Mean	4.21574344
Median Absolute Deviation (MAD)	3
Skewness	0.9622430334
Sum	4338
Variance	13.38531611
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2	268	26.0%
0	169	16.4%
7	146	14.2%
3	92	8.9%
4	75	7.3%
8	57	5.5%
9	48	4.7%
1	42	4.1%
6	27	2.6%
5	26	2.5%
10	22	2.1%
11	13	1.3%
13	11	1.1%
14	9	0.9%
12	8	0.8%
15	7	0.7%
16	5	0.5%
17	3	0.3%
18	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	169	16.4%
1	42	4.1%
2	268	26.0%
3	92	8.9%
4	75	7.3%
5	26	2.5%
6	27	2.6%
7	146	14.2%
8	57	5.5%
9	48	4.7%

Value	Count	Frequency (%)
18	1	0.1%
17	3	0.3%
16	5	0.5%
15	7	0.7%
14	9	0.9%
13	11	1.1%
12	8	0.8%
11	13	1.3%
10	22	2.1%
9	48	4.7%

YearsSinceLastPromotion
Real number (ℝ_≥0)

ZEROS

Distinct	16
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.119533528
Minimum	0
Maximum	15
Zeros	415
Zeros (%)	40.3%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	9
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.10865138
Coefficient of variation (CV)	1.466667707
Kurtosis	3.474949451
Mean	2.119533528
Median Absolute Deviation (MAD)	1
Skewness	1.947710195
Sum	2181
Variance	9.663713401
Monotocity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	415	40.3%
1	245	23.8%
2	115	11.2%
7	52	5.1%
4	41	4.0%
3	33	3.2%
5	31	3.0%
6	25	2.4%
11	16	1.6%
8	16	1.6%
9	11	1.1%
13	7	0.7%
12	7	0.7%
15	6	0.6%
10	5	0.5%
14	4	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	415	40.3%
1	245	23.8%
2	115	11.2%
3	33	3.2%
4	41	4.0%
5	31	3.0%
6	25	2.4%
7	52	5.1%
8	16	1.6%
9	11	1.1%

Value	Count	Frequency (%)
15	6	0.6%
14	4	0.4%
13	7	0.7%
12	7	0.7%
11	16	1.6%
10	5	0.5%
9	11	1.1%
8	16	1.6%
7	52	5.1%
6	25	2.4%

YearsWithCurrManager
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.005830904
Minimum	0
Maximum	17
Zeros	188
Zeros (%)	18.3%
Memory size	8.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	7
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.522573815
Coefficient of variation (CV)	0.8793615854
Kurtosis	0.283419303
Mean	4.005830904
Median Absolute Deviation (MAD)	3
Skewness	0.8800434637
Sum	4122
Variance	12.40852628
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	248	24.1%
0	188	18.3%
7	135	13.1%
3	99	9.6%
8	76	7.4%
4	71	6.9%
1	57	5.5%
9	47	4.6%
5	26	2.5%
10	18	1.7%
6	17	1.7%
11	16	1.6%
12	12	1.2%
13	7	0.7%
17	6	0.6%
15	3	0.3%
14	3	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	188	18.3%
1	57	5.5%
2	248	24.1%
3	99	9.6%
4	71	6.9%
5	26	2.5%
6	17	1.7%
7	135	13.1%
8	76	7.4%
9	47	4.6%

Value	Count	Frequency (%)
17	6	0.6%
15	3	0.3%
14	3	0.3%
13	7	0.7%
12	12	1.2%
11	16	1.6%
10	18	1.7%
9	47	4.6%
8	76	7.4%
7	135	13.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	Age	Attrition	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeCount	EmployeeNumber	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager
0	50.0	No	Travel_Rarely	1126.0	Research & Development	1.0	2	Medical	1	997	4	Male	66	3	4	Research Director	4	Divorced	17399	6615	9	Y	No	22	4	3	80	1	32	1	2	5	4	1	3
1	36.0	No	Travel_Rarely	216.0	Research & Development	6.0	2	Medical	1	178	2	Male	84	3	2	Manufacturing Director	2	Divorced	4941	2819	6	Y	No	20	4	4	80	2	7	0	3	3	2	0	1
2	21.0	Yes	Travel_Rarely	337.0	Sales	7.0	1	Marketing	1	1780	2	Male	31	3	1	Sales Representative	2	Single	2679	4567	1	Y	No	13	3	2	80	0	1	3	3	1	0	1	0
3	50.0	No	Travel_Frequently	1246.0	Human Resources	NaN	3	Medical	1	644	1	Male	99	3	5	Manager	2	Married	18200	7999	1	Y	No	11	3	3	80	1	32	2	3	32	5	10	7
4	52.0	No	Travel_Rarely	994.0	Research & Development	7.0	4	Life Sciences	1	1118	2	Male	87	3	3	Healthcare Representative	2	Single	10445	15322	7	Y	No	19	3	4	80	0	18	4	3	8	6	4	0
5	33.0	Yes	Travel_Rarely	1277.0	Research & Development	15.0	1	Medical	1	582	2	Male	56	3	3	Manager	3	Married	13610	24619	7	Y	Yes	12	3	4	80	0	15	2	4	7	6	7	7
6	47.0	No	Travel_Rarely	1001.0	Research & Development	4.0	3	Life Sciences	1	1827	3	Female	92	2	3	Manufacturing Director	2	Divorced	10333	19271	8	Y	Yes	12	3	3	80	1	28	4	3	22	11	14	10
7	22.0	No	Travel_Rarely	1230.0	Research & Development	1.0	2	Life Sciences	1	872	4	Male	33	2	2	Manufacturing Director	4	Married	4775	19146	6	Y	No	22	4	1	80	2	4	2	1	2	2	2	2
8	NaN	Yes	Travel_Rarely	890.0	Research & Development	2.0	4	Medical	1	828	3	Male	46	3	1	Research Scientist	3	Single	4382	16374	6	Y	No	17	3	4	80	0	5	3	2	2	2	2	1
9	33.0	No	Non-Travel	530.0	Sales	16.0	3	Life Sciences	1	1681	3	Female	36	3	2	Sales Executive	4	Divorced	5368	16130	1	Y	Yes	25	4	3	80	1	7	2	3	6	5	1	2

Last rows

	Age	Attrition	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeCount	EmployeeNumber	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked	Over18	OverTime	PercentSalaryHike	PerformanceRating	RelationshipSatisfaction	StandardHours	StockOptionLevel	TotalWorkingYears	TrainingTimesLastYear	WorkLifeBalance	YearsAtCompany	YearsInCurrentRole	YearsSinceLastPromotion	YearsWithCurrManager
1019	23.0	No	Travel_Rarely	160.0	Research & Development	4.0	1	Medical	1	1735	3	Female	51	3	1	Laboratory Technician	2	Single	3295	12862	1	Y	No	13	3	3	80	0	3	3	1	3	2	1	2
1020	41.0	No	Travel_Rarely	1276.0	Sales	2.0	5	Life Sciences	1	625	2	Female	91	3	4	Manager	1	Married	16595	5626	7	Y	No	16	3	2	80	1	22	2	3	18	16	11	8
1021	33.0	No	Non-Travel	750.0	Sales	22.0	2	Marketing	1	160	3	Male	95	3	2	Sales Executive	2	Married	6146	15480	0	Y	No	13	3	1	80	1	8	2	4	7	7	0	7
1022	49.0	No	Travel_Rarely	1495.0	Research & Development	NaN	4	Technical Degree	1	1473	1	Male	96	3	2	Healthcare Representative	3	Married	6651	21534	2	Y	No	14	3	2	80	1	20	0	2	3	2	1	2
1023	33.0	No	Travel_Rarely	589.0	Research & Development	28.0	4	Life Sciences	1	1549	2	Male	79	3	2	Laboratory Technician	3	Married	5207	22949	1	Y	Yes	12	3	2	80	1	15	3	3	15	14	5	7
1024	NaN	No	Travel_Rarely	750.0	Research & Development	28.0	3	Life Sciences	1	1596	2	Male	46	4	2	Laboratory Technician	3	Married	3407	25348	1	Y	No	17	3	4	80	2	10	3	2	10	9	6	8
1025	41.0	No	Travel_Rarely	447.0	Research & Development	NaN	3	Life Sciences	1	1814	2	Male	85	4	2	Healthcare Representative	2	Single	6870	15530	3	Y	No	12	3	1	80	0	11	3	1	3	2	1	2
1026	22.0	Yes	Travel_Frequently	1256.0	Research & Development	NaN	4	Life Sciences	1	1203	3	Male	48	2	1	Research Scientist	4	Married	2853	4223	0	Y	Yes	11	3	2	80	1	1	5	3	0	0	0	0
1027	29.0	No	Travel_Rarely	1378.0	Research & Development	13.0	2	Other	1	2053	4	Male	46	2	2	Laboratory Technician	2	Married	4025	23679	4	Y	Yes	13	3	1	80	1	10	2	3	4	3	0	3
1028	50.0	No	Travel_Rarely	264.0	Sales	9.0	3	Marketing	1	1591	3	Male	59	3	5	Manager	3	Married	19331	19519	4	Y	Yes	16	3	3	80	1	27	2	3	1	0	0	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Connector Punctuation characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most frequent Other Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks